基于智能手机的个体室内时空行为分析

doi:10.11820/dlkxjz.2015.04.007

摘要/Abstract

摘要：

智慧城市近年来在全球范围内得到了广泛的重视,智慧城市的基础是对城市各要素的感知与理解。人是城市的主导因素,对个人的时空行为分析是城市感知的关键,对智慧城市的建设具有重要意义。个体时空行为分析一直受限于时空数据的获取手段,使得相关理论研究及应用受到了很大的限制。个体时空行为数据获取的挑战之一在于室内空间位置信息的获取。随着智能手机功能的日益强大和室内定位技术的发展,可以通过智能手机获取个体的室内位置信息;另外,智能手机内置的多种传感器使其具备强大的感知能力,可以检测用户的行为。因此,智能手机成为获取个体室内时空行为数据的理想终端。本文对基于智能手机的个体室内时空行为进行分析,首先介绍了室内定位的研究进展,然后给出基于智能手机进行个体室内时空行为分析的实例,最后对基于智能手机的个体室内时空行为分析对智慧城市建设的意义进行了讨论。通过智能手机获取的个体室内时空行为数据可以分析城市居民的实时空间分布及行为模式,对于智慧城市建设中的智慧交通、智慧安防以及智慧城管等应用提供数据支撑;基于大规模的历史个体室内时空行为数据,可以分析城市功能的时空变化特征,服务于智慧城市建设。

关键词: 智慧城市, 智能手机, 时空行为, 室内定位

Abstract:

In recent years, the smart city concept and development have attracted a great amount of interests worldwide. One of the bases of the functioning of smart city is the sensing and understanding of elements of cities. People are the dominant component of cities and therefore individual spatiotemporal behavior analysis is the key of such sensing and is important to the development of smart cities. Individual spatiotemporal behavior analysis has been hampered by data collection techniques, which seriously limit the development of theoretical research and application. One challenge of individual spatiotemporal behavior data acquisition is to collect indoor location information. With the development of smartphone and indoor positioning techniques, indoor location of individual private persons can be obtained by smartphones. Moreover, the built-in sensors of the smartphone can be used to detect individuals' behaviors. Therefore, smartphone is becoming the ideal terminal device for individual spatiotemporal behavior data collection. This article discusses the application of smartphone for individual spatiotemporal behavior analysis. It reviews the advances of indoor positioning technology and provides an example of individual spatiotemporal behavior analysis using smartphone, and also addresses the significance and existing problems of smartphone-based individual spatiotemporal behavior analysis. Based on the individual spatiotemporal behavior data collected by smartphones, we can analyze in real time the spatial distribution and behavior patterns of urban residents, which can provide the data for smart city planning, design, and development applications, such as smart transportation, smart security, and smart city management. Based on a large amount of individual spatiotemporal behavior data, we can analyze the space-time characteristics of urban functions, which provide the basis for the construction of smart cities.

Key words: smart city, smartphone, spatiotemporal behavior, indoor positioning

李清泉, 周宝定. 基于智能手机的个体室内时空行为分析[J]. 地理科学进展, 2015, 34(4): 457-465.

Qingquan LI, Baoding ZHOU. Smartphone-based individual indoor spatiotemporal behavior analysis[J]. PROGRESS IN GEOGRAPHY, 2015, 34(4): 457-465.

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时间	位置(空间)	行为
7:50-8:15	家—餐厅A	步行
8:15-8:30	餐厅A	早餐
8:30-8:45	餐厅A-办公室	步行
8:45-11:50	办公室	工作
11:50-12:20	餐厅B	中餐
12:20-16:00	办公室	工作
16:00-16:40	办公室	购物+活动
16:40-17:30	办公室	工作
17:30-18:15	餐厅C	晚餐
18:15-22:00	办公室	工作
22:00-22:30	办公室—家	步行

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